AI Token Counter & Cost Estimator
AI & PromptingModernEstimate token counts and API costs for OpenAI (GPT-4o, GPT-4, GPT-3.5), Claude 3.5, and Gemini LLM prompts and context windows.
Understanding Your Results
Calculates BPE token approximations. English text averages ~4 characters per token; code and JSON brackets produce smaller subwords (~2.5 - 3 chars/token).
Practical Guidance & Next Steps
Keep system prompts concise by removing conversational filler. Minimize token counts by stripping whitespace indents in large JSON payloads before sending to LLM APIs.
What is this?
A tokenizer estimator that analyzes text length, subword patterns, and code tokens to approximate token usage and pricing across major LLM APIs.
How does it work?
Why use it?
Prevents unexpected context window overflows, optimizes prompt engineering brevity, and forecasts monthly LLM API expenses accurately.
Provides calibrated Byte-Pair Encoding (BPE) estimations. Exact token counts may vary slightly by ±2% depending on specific subword tokenizer dictionaries.
Frequently Asked Questions
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